Professional Services Engineer AI ML

NVIDIA; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

A leading technology company in Dubai is seeking an experienced professional to support data scientists in machine learning operations. Responsibilities include configuring software to match customer needs and diagnosing issues in cloud environments. The ideal candidate has a B.Sc in Computer Science, at least 3 years of customer-facing experience, and proficiency in Kubernetes and Docker. Join a pioneering team pushing the boundaries of AI and technology.

Benefits

Highly competitive salary

Extensive benefits package

Diversity and inclusion initiatives

Qualifications

• 3+ years of experience in a customer facing role at a B2B SaaS Software Company.
• Proven experience in software development.
• Experience presenting to technical audiences.

Responsibilities

• Help data scientists and ML engineers embed best practices in ML operations.
• Configure Run AI to match customer’s use case.
• Diagnose and solve customer issues in cloud native environments.

Skills

Customer-facing experience

Technical presentation skills

Experience with Linux/Unix

Hands-on Kubernetes

Docker containerization

Software development

Education

B.Sc in Computer Science or equivalent

Tools

Kubernetes

Docker

Job description

Overview

On a daily basis to maximize to help increase the value of the Run.AI software.

These includes: helping data scientists and ML engineers embed best practices in the world of machine learning operations.

Configuring Run AI to match customer’s use case and integrating Run AI into customers' existing ML ops environment including scripting.

Diagnosing and solving customer issues in sophisticated cloud native environments. Use existing profiling and analysis tools to find bottlenecks and low utilization of deep learning models.

Responsibilities

• Help data scientists and ML engineers embed best practices in the world of machine learning operations.
• Configure Run AI to match customer’s use case.
• Integrate Run AI into customers' existing ML ops environment including scripting.
• Diagnose and solve customer issues in sophisticated cloud native environments.
• Use existing profiling and analysis tools to find bottlenecks and low utilization of deep learning models.
• Collaborate with internal stakeholders (e.g., Pre-Sales Solution Engineers, Account Managers, Account SAs, Product) in the post-sale stage by understanding business requirements and providing industry and technical input.
• Develop new tools and scripts to help simplify integration between Run AI and other Data Science tools.

What We Need To See / Qualifications

• 3+ years of experience working in a customer facing role at a B2B SaaS / On Prem Software Company
• B.Sc in Computer Science or equivalent experience
• Experience presenting to technical audiences and creating technical content for developers
• Experience in Linux / Unix Operating Systems
• Hands on experience with Kubernetes
• Experience in containerization technologies like Docker
• Proven experience with software development

Ways To Stand Out From The Crowd

• CKA
• NVIDIA is widely considered to be one of the technology world’s most desirable employers.

We have some of the most forward-thinking and hardworking people in the world working for us.

Are you a creative and autonomous manager who loves a challenge? Are you ready to become the staff member you always wanted to be? Come and be part of the best SW design team in the industry!

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization.

Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology.

We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility.

As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

Identifiers

JR1999004

Candidates should have 3+ years of experience in a customer-facing role and a B.Sc in Computer Science or equivalent experience.

Proficiency in Linux / Unix, Kubernetes, and containerization technologies is required, along with proven software development experience.